Potential long-term impacts of livestock introduction on carbon and nitrogen cycling in grasslands of Southern South America

Empirical evidence based on grazing exclusion at the scale of years to decades shows that grazing modifies carbon (C) and nitrogen (N) cycling. However, long‐term effects at the scale of centuries are less known, yet highly relevant to understand local and global impacts of grazing. Additionally, most studies have focused on the isolated response of C and N, with little understanding of their interactions. Using CENTURY, a process‐based biogeochemical model, we analyzed the impacts of 370 years of livestock grazing (i.e. long term, from early European colonization to present) in 11 sites across the Río de la Plata grasslands and compared them with those resulting from two decades of grazing (i.e. mid‐term, typical exclosure experiment). In the long term, livestock grazing primarily altered the N cycle through faster N returns to the soil via urine and dung, which were offset by uninterrupted N outputs by volatilization and leaching. As a result, soil organic N decreased by ?880 kg ha^?1 or ?19%. Higher N outputs (mainly as NH₃) opened the N cycle, potentially decreasing N₂O and NO_x emissions and increasing N depositions over the region. These greater outputs of N constrained C accumulation in soils, reducing soil organic C by ?21 200 kg ha^?1 (?22%, a reduction of ?1.5 Pg of C for the whole region) and net primary production by ?2192 kg ha^?1 yr^?1 (?24%). Mid‐term simulations showed that the effects of livestock introduction in a decadal time scale were substantially different both in magnitude and direction from long‐term responses. Long‐term results were not substantially affected when atmospheric CO₂ content, species composition and fire regime were changed within plausible ranges, but highlighted fire‐grazing interactions as a major constraint of long‐term C and N dynamics in these grasslands.     

May the definition of pollen season influence aerobiological results?

This paper reviews the terms and major criteria used to define and limit the pollen season. Pollen data from Cordoba (Spain), Ourense (Spain) and Bologna (Italy) were used to ascertain the extent to which aerobiological results and pollen curves are modified by the criteria selected. Results were analysed using Spearmanȁ9s correlation test. Phenological observations were also used to determine synchronization between pollen curves and plant phenology. The criteria for limiting the shortest and longest pollen season periods, as well as the earliest and latest start and end dates, varied according to the city and the taxon under study; in many cases, results for a given taxon also depended on the year. The smallest differences were obtained for Platanus and the greatest for Poaceae.     

Increases in air temperature can promote wind-driven dispersal and spread of plants

Long-distance dispersal (LDD) of seeds and pollen shapes the spatial dynamics of plant genotypes, populations and communities. Quantifying LDD is thus important for predicting the future dynamics of plants exposed to environmental changes. However, environmental changes can also alter the behaviour of LDD vectors: for instance, increasing air temperature may enhance atmospheric instability, thereby altering the turbulent airflow that transports seed and pollen. Here, we investigate temperature effects on wind dispersal in a boreal forest using a 10-year time series of micrometeorological measurements and a Lagrangian stochastic model for particle transport. For a wide range of dispersal and life history types, we found positive relations between air temperature and LDD. This translates into a largely consistent positive effect of +3°C warming on predicted LDD frequencies and spread rates of plants. Relative increases in LDD frequency tend to be higher for heavy-seeded plants, whereas absolute increases in LDD and spread rates are higher for light-seeded plants for which wind is often an important dispersal vector. While these predicted increases are not sufficient to compensate forecasted range losses and environmental changes can alter plant spread in various ways, our results generally suggest that warming can promote wind-driven movements of plant genotypes and populations in boreal forests.     

科尔沁草地不同大气稳定度下湍流特征谱分析

利用科尔沁半干旱风沙草原区涡度相关观测数据,计算并分析了不同大气稳定度条件下湍流的功率谱和协谱.结果表明:经向风速与纬向风速的功率谱在大气不稳定层结、近中性层结、稳定层结条件下谱形均相似,并遵循-2/3定律;近中性层结条件下垂直风速的功率谱没有惯性子区,此时仪器对脉动信号的捕捉不够完全,稳定层结条件下垂直风速功率谱表明观测层产生了泄流和平流;CO_2和H_2O浓度的功率谱分析表明,红外气体分析仪对高频信号的响应能力能够满足实际观测的需要,其功率谱的谱峰随大气稳定度的增强而向高频转移;垂直风速与3种标量的协谱谱形相似,不同大气稳定度下协谱惯性子区长度随大气稳定度的增强而变短,且均符合-4/3定律,说明三维超声风速仪与红外气体分析仪的空间间隔不会对通量观测结果造成显著影响.     

大气CO_2浓度升高与森林群落结构的可能性变化

大气 CO2 浓度升高所引起的森林生态系统生态稳定性的变化会导致森林在结构和功能上的变动 ,概述了大气 CO2浓度升高和陆地森林生态系统可能性变化之间的相互关系的研究情况。由于大气 CO2 浓度升高出现了额外多的 C,供应 ,讨论了以这些额外多的 C经大气 -植物 -土壤途径的流动走向 ,来研究大气 CO2 浓度的升高 ,与森林结构的相互作用 ,探讨了大气 CO2 浓度升高对森林植物生长、冠层结构、引发的生物量增量的分配、凋落物质量和根质量的变化造成的土壤生态过程的变化、微生物共生体、有机质周转率、营养循环的潜在效应以及气温上升对森林植物产生的可能性影响 ,这些受影响的生物要素和生态过程 ,会引起群落内植物间对资源原有的竞争关系发生变化 ,对资源竞争的格局发生变化最终将会导致森林结构的改变。     

16S rRNA序列分析法在大气微生物检测中的应用

随首微生物核糖体数据库的日益完善,１６Ｓ ｒＲＮＡ序列分析技术已应用于海洋、湖泊和土壤等环境微生物多样性的分析,但尚未见其在大气微生物菌群分析中的应用报道。本研究选择５株大气中采集分离的菌株,通过细胞１６Ｓ ｒＲＮＡ通过引物ＰＣＲ扩增其对应序列,直接对ＰＣＲ产物进行测序,分析鉴定其对应细胞的种属,并将该结果同细胞表型鉴定、全自动微生物分析仪以及相色谱分析结果加以比较。结果表明１６Ｓ ｒＲＮＡ序列分     

Modelling the recent historical impacts of atmospheric CO2 and climate change on Mediterranean vegetation

During the past century, annual mean temperature has increased by 0.75°C and precipitation has shown marked variation throughout the Mediterranean basin. These historical climate changes may have had significant, but presently undefined, impacts on the productivity and structure of sclerophyllous shrubland, an important vegetation type in the region. We used a vegetation model for this functional type to examine climate change impacts, and their interaction with the concurrent historical rise in atmospheric CO₂. Using only climate and soil texture as data inputs, model predictions showed good agreement with observations of seasonal and regional variation in leaf and canopy physiology, net primary productivity (NPP), leaf area index (LAI) and soil water. Model simulations for shrubland sites indicated that potential NPP has risen by 25% and LAI by 7% during the past century, although the absolute increase in LAI was small. Sensitivity analysis suggested that the increase in atmospheric CO₂ since 1900 was the primary cause of these changes, and that simulated climate change alone had negative impacts on both NPP and LAI. Effects of rising CO₂ were mediated by significant increases in the efficiency of water‐use in NPP throughout the region, as a consequence of the direct effect of CO₂ on leaf gas exchange. This increase in efficiency compensated for limitation of NPP by drought, except in areas where drought was most severe. However, while water was used more efficiently, total canopy water loss rose slightly or remained unaffected in model simulations, because increases in LAI with CO₂ counteracted the effects of reduced stomatal conductance on transpiration. Model simulations for the Mediterranean region indicate that the recent rise in atmospheric CO₂ may already have had significant impacts on productivity, structure and water relations of sclerophyllous shrub vegetation, which tended to offset the detrimental effects of climate change in the region.